Tomohiro Funakoshi
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
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- Colorectal Cancer Treatments and Studies
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 2
- Oncology 2
- Colorectal Cancer Treatments and Studies 1
- Cancer Immunotherapy and Biomarkers 1
- Co-authors
- Asma Latif (4 shared papers)Leonardo V. Riella (1 shared paper)Naoka Murakami (1 shared paper)Matthew D. Galsky (3 shared papers)Chung‐Han Lee (1 shared paper)James J. Hsieh (1 shared paper)Matt D. Galsky (1 shared paper)Yuichi J. Shimada (1 shared paper)
- Journals
- Cancer Treatment Reviews (4 papers)Acta Oncologica (1 paper)Breast Cancer Research and Treatment (1 paper)Critical Reviews in Oncology/Hematology (1 paper)Journal of Primary Care & Community Health (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Tomohiro Funakoshi
11 papers receiving 326 citations
Peers
Comparison fields: 5 of 58
- Transplantation 57
- Oncology 83
- Cancer Research 39
- Pulmonary and Respiratory Medicine 75
- Hepatology 16
Countries citing papers authored by Tomohiro Funakoshi
This map shows the geographic impact of Tomohiro Funakoshi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tomohiro Funakoshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomohiro Funakoshi more than expected).
Fields of papers citing papers by Tomohiro Funakoshi
This network shows the impact of papers produced by Tomohiro Funakoshi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tomohiro Funakoshi. The network helps show where Tomohiro Funakoshi may publish in the future.
Co-authors
The 13 scholars most cited alongside Tomohiro Funakoshi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 91 | |
| 2 | 2013 | 56 | |
| 3 | 2013 | 51 | |
| 4 | 2014 | 29 | |
| 5 | 2013 | 28 | |
| 6 | 2013 | 26 | |
| 7 | 2014 | 19 | |
| 8 | 2013 | 14 | |
| 9 | 2014 | 10 | |
| 10 | 2016 | 4 | |
| 11 | 2014 | 2 |
About Tomohiro Funakoshi
Tomohiro Funakoshi is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Genetics, having authored 11 papers that have together received 330 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (2 papers), Colorectal Cancer Treatments and Studies (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Renal cell carcinoma treatment (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Cancer Genomics and Diagnostics (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Renal Transplantation Outcomes and Treatments (1 paper). The work is most often cited by research in Transplantation (57 citations), Oncology (83 citations), Cancer Research (39 citations), Pulmonary and Respiratory Medicine (75 citations) and Hepatology (16 citations). Tomohiro Funakoshi has collaborated with scholars based in United States and Japan. Frequent co-authors include Asma Latif, Leonardo V. Riella, Naoka Murakami, Matthew D. Galsky, Chung‐Han Lee, James J. Hsieh, Matt D. Galsky, Yuichi J. Shimada, Maya Suzuki and Kazuo Tamura. Their work appears in journals such as Cancer Treatment Reviews, Acta Oncologica, Breast Cancer Research and Treatment, Critical Reviews in Oncology/Hematology and Journal of Primary Care & Community Health.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.